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LGTM - merging to master. Thanks!
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* A heartbeat from exe
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Jenkins add to whitelist
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Hi @srowen , Python style fail is updated. Thanks.
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I think we can close this PR
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This sounds like a WIP. Until there's a reasonably clear change to make
here with some benchmarks I suggest we close this.
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Can one of the admins verify this patch?
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cc @cloud-fan
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[SPARK-17445] [DOCS] Reference an ASF page as the main place to find
third-party packages
## What changes were proposed in this pull request?
Point references to spark-packages.org to
http
GitHub user hvanhovell opened a pull request:
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[SPARK-17114][SQL] Fix aggregates grouped by literals with empty input.
## What changes were proposed in this pull request?
This PR fixes an issue with aggregates that have an empty input, an
GitHub user gglanzani opened a pull request:
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[SPARK-17520] Implement a better __eq__ for SparseMatrix
## What changes were proposed in this pull request?
A better __eq__ method for SparseMatrix
## How was this patch te
Github user steveloughran commented on the issue:
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Could an automated test be done here. propagation can be tested with a a
function run on the
executor (such as a map) which fails if the required properties are missing
1. (set so
Github user steveloughran commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
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@@ -102,11 +102,20 @@ class SparkHadoopUtil extends Logging {
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retest this please.
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closing PR.
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Jenkins retest this please
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Github user srowen commented on the issue:
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LGTM. Will leave this open a short time for any comments, especially a
double check on the property names that are introduced here. I like the cleanup
as well as the functionality.
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Github user srowen commented on the issue:
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That seems reasonable to pull out some generic testing utils into common
from mllib. This looks OK to me. CC maybe @jkbradley ? @MLnick ? just anyone
for a second opinion.
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--- Diff:
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@@ -109,7 +114,7 @@ final class QuantileDiscretizer @Since("1.6.0")
Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -109,7 +114,7 @@ final class QuantileDiscretizer @Since("1.6.0")
Github user hvanhovell commented on the issue:
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What is the improvement?
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Github user jiangxb1987 commented on the issue:
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@srowen I've addressed your comment, thank you!
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Github user cloud-fan commented on the issue:
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We are trying to remove hive dependency in Spark SQL, I'm not sure if we
should do this, cc @yhuai
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--- Diff: core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
---
@@ -866,11 +866,14 @@ class BytesToString extends
org.apache.spark.api.java.fun
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--- Diff:
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@@ -17,48 +17,18 @@
package org.apache.spark.sql
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Github user AnthonyTruchet commented on the issue:
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This is perfectly understandable, Just in the same way that we err on the
side of caution by not switching to 2.0 branch for prod just now :-)
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--- Diff:
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@@ -109,7 +114,7 @@ final class QuantileDiscretizer @Since("1.6.0
Github user zhengruifeng commented on the issue:
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I test on two datasets: a9a and mnist.scale. Download here
http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/
The test codes are following:
```
import org.apache.spark.ml.classi
Github user srowen commented on the issue:
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@lresende yes I think so. I think we can consider SPARK-17418 about the
assembly, and SPARK-17422 about (possibly) removing the other artifacts
depending on LEGAL-198.
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@srowen Updated. Thanks.
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Github user HyukjinKwon commented on the issue:
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Maybe I should've left a comment in the JIRA firsr to ask if I can work on
this. I also don't mind closing this if any of you is working on this in a
better way.
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Github user VinceShieh commented on the issue:
https://github.com/apache/spark/pull/14640
@finleyb indeed, thank you for pointing it out. I have put it right and
added a test to guard this issue. Many thanks. And feel free to let us know if
you have any problem with this class or any
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